Triple
T27809383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emporium (shop) |
E702476
|
entity |
| Predicate | isLargestShopOn |
P163375
|
FINISHED |
| Object | Main Street, U.S.A. |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Main Street, U.S.A. | Statement: [Emporium (shop), isLargestShopOn, Main Street, U.S.A.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestShopOn Context triple: [Emporium (shop), isLargestShopOn, Main Street, U.S.A.]
-
A.
isLargestMarketplaceIn
Indicates that a marketplace is the biggest in size or volume compared to all other marketplaces within a specified region or context.
-
B.
isOneOfLargestMallsIn
Indicates that a mall ranks among the largest shopping centers located within a specified area or region.
-
C.
isShoppingDestination
Indicates that a place serves as a primary location where people go to shop for goods or services.
-
D.
isOneOfLargestOutletMallsIn
Indicates that an outlet mall ranks among the largest within a specified geographic area or region.
-
E.
hasShopsOn
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6383da0e08190a4e394aba4b49348 |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:41 p.m.